Triple

T8938151
Position Surface form Disambiguated ID Type / Status
Subject Kufra region E212829 entity
Predicate contains P35 FINISHED
Object Tazirbu
Tazirbu is a remote oasis settlement in southeastern Libya, known for its desert environment and traditional reliance on groundwater resources.
 E767639 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tazirbu | Statement: [Kufra region, contains, Tazirbu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tazirbu
Context triple: [Kufra region, contains, Tazirbu]
  • A. Taznatit
    Taznatit is a Berber language whose features have influenced the development and structure of the Korandje language.
  • B. Tajewala
    Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
  • C. Tajio Kaili
    Tajio Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • D. Multazam
    Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
  • E. El Tebbin
    El Tebbin is an industrial district in southern Cairo, Egypt, known for its steel and heavy manufacturing facilities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tazirbu
Triple: [Kufra region, contains, Tazirbu]
Generated description
Tazirbu is a remote oasis settlement in southeastern Libya, known for its desert environment and traditional reliance on groundwater resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tazirbu
Target entity description: Tazirbu is a remote oasis settlement in southeastern Libya, known for its desert environment and traditional reliance on groundwater resources.
  • A. Taznatit
    Taznatit is a Berber language whose features have influenced the development and structure of the Korandje language.
  • B. Tajewala
    Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
  • C. Tajio Kaili
    Tajio Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • D. Multazam
    Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
  • E. El Tebbin
    El Tebbin is an industrial district in southern Cairo, Egypt, known for its steel and heavy manufacturing facilities.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b57a348190979effe4f9998eb7 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1e692548190b631c4926927d12f completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc2b23be0819089503ca761f3f0b4 completed April 3, 2026, 1:37 p.m.
NED2 Entity disambiguation (via description) batch_69cfc3731fbc8190bd3efc9a9786d078 completed April 3, 2026, 1:41 p.m.
Created at: March 30, 2026, 6:58 p.m.